Market price
$1.59
How is this value calculated?
Ladder estimate · English
· ~$1.59
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 56 | 2 mo | $1.59 | 457.14 |
| de roh NM × 1.076 (Sprach-Faktor aus 93 Karten) | 16 | 2 mo | $1.36 | 4.29 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.59 · Σ g = 461.43
Measured error for this era×language (backtest): ±16 %
Ladder estimate · Deutsch
· ~$1.43
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set +19% nachgeführt | 16 | 2 mo | $1.41 | 130.61 |
| en roh NM × 0.9294 (Sprach-Faktor aus 93 Karten) · Set +19% nachgeführt | 56 | 2 mo | $1.66 | 4.5 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.43 · Σ g = 135.11
Measured error for this era×language (backtest): ±19 %
Ladder estimate · Français
· ~$3.79
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set +11% nachgeführt | 2 | 2 mo | $4.57 | 16.33 |
| en roh NM × 1.1457 (Sprach-Faktor aus 65 Karten) · Set +11% nachgeführt | 56 | 2 mo | $1.96 | 2.63 |
| de roh NM × 1.1985 (Sprach-Faktor aus 65 Karten) · Set +11% nachgeführt | 16 | 2 mo | $1.62 | 1.51 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $3.79 · Σ g = 20.47
Measured error for this era×language (backtest): ±25 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~$1.80
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1456 (Sprach-Faktor aus 55 Karten) · Set +11% nachgeführt | 56 | 2 mo | $1.96 | 3.87 |
| de roh NM × 1.0883 (Sprach-Faktor aus 54 Karten) · Set +11% nachgeführt | 16 | 2 mo | $1.47 | 1.67 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.80 · Σ g = 5.54
Measured error for this era×language (backtest): ±17 %
PSA Population
No PSA numbers for this print yet — in any language.
FAQ
Frequently asked questions
How does lastsold determine the market value?
lastsold uses only real sales — eBay plus auction houses like Goldin & Fanatics — recent sales count more (recency weighting), outliers and fakes are removed. It's not an estimate but actual sold prices, separated by condition, language and grading.
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